Xuan Li

Research Scientist at NVIDIA

California, United States
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Summary

🤩
Rockstar
🎓
Top School
Xuan Li is a research scientist at NVIDIA with a decade of experience at the intersection of physics-based simulation, differentiable physics, and 3D vision, and a publication record spanning SIGGRAPH, ICLR, NeurIPS, CVPR, and ICRA. With a PhD in Applied Mathematics from UCLA and prior degrees from Stony Brook and Tsinghua, Xuan blends rigorous theory with practical sim2real/real2sim applications and robotics. Their work spans NeRF/3D generative models, geometry processing, and physics simulation, reflecting both foundational contributions and applied research that bridges lab prototypes and GPU-accelerated systems. A former GenAI and deep learning research intern at NVIDIA, Adobe, and IBM, Xuan brings experience in translating research into production-relevant code on NVIDIA platforms. Notably, their diverse publication portfolio suggests a knack for unifying ideas across graphics, ML, and control to tackle real-world perception and simulation gaps.
code11 years of coding experience
bookBachelor of Science - BS Mathematical Sciences, Bachelor of Science - BS Mathematical Sciences at Tsinghua University
bookUniversity of California, Los Angeles
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Stony Brook University
languagesChinese, English
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Github Skills (22)

parameterization10
nvidia10
gpu-programming9
geometry-processing9
computer-graphics9
gpu9
ai9
differentiable-programming9
python8
simulation8
javascript7
robotics7
cuda7
gpu-acceleration6
post-training6

Programming languages (6)

C++CMakeJupyter NotebookMATLABPythonMatlab

Github contributions (5)

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Project for CSE528
Contributions:8 commits, 2 PRs, 77 pushes in 3 years 1 month
javascriptgeometry-processingparameterization
xuan-li/xuan-li.github.io

Oct 2017 - Feb 2024

Contributions:197 pushes, 1 branch in 6 years 5 months
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